According to AlphaMoat, as of 2026-09, 保险条款分析 has 2,004 downloads and 2 stars — ranked #4,425 of 5,078 AI skills overall, and #385 of 465 in Professional.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 26 | 1.0K | 1 | - |
| SkillHub ↗ | 129 | 2.0K | 2 | — |
Platforms count differently and update at different times.
The skill processes user-provided policy text or PDF, DOCX, and TXT files, then organizes coverage details into the source-defined JSON schema. The source separates core and enhancement fields and allows some enhancement values to be null. Complex policy wording can lead to omissions or errors, so review every generated value against the original policy before using it. Policy documents may contain sensitive information; process only files intentionally provided and limit sharing of the output.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.0K | — | 2 |
| 2026-08 | 1.4K | +32.8% | 2 |
| 2026-07 | 1.0K | +33.6% | 2 |
| 2026-06 | 780 | +16.2% | 2 |
| 2026-05 | 671 | — | 1 |
| 2026-03 | 318 | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: insurance-parser
description: 解析医疗险条款文档并提取32个结构化字段,含14个核心字段和18个增强字段,支持PDF/DOCX/TXT格式,输出标准JSON
dependency:
python:
- pypdf2==3.0.1
- python-docx==1.1.0
---
# 医疗险条款结构化解析器
## 任务目标
- 本 Skill 用于:从医疗险条款文档中提取32个结构化字段
- 能力包含:解析PDF/DOCX/TXT格式文档,提取Level 1核心字段(14个)和Level 2增强字段(18个)
- 触发条件:用户提供医疗险条款文档或文本内容,需要结构化提取时
## 前置准备
- 依赖说明:无特殊依赖,已内置文档解析脚本
## 操作步骤
- 标准流程:
1. **获取文档内容**
- 如果用户提供的是PDF/DOCX/TXT文件,调用 `scripts/parse_document.py <file_path>` 获取纯文本内容
- 如果用户直接输入保险条款文本,直接使用该文本
2. **提取结构化信息**
- 根据 [references/output-format.md](references/output-format.md) 中的字段定义,从文档内容中提取对应信息
- 智能体将逐项分析文档,填充以下两部分:
- `level1_core_fields`: 14个绝对核心字段(年度限额、免赔额、赔付比例、续保条件等)
- `level2_enhancement_fields`: 18个对比增强字段(家庭共享免赔额、特殊门诊、院外购药、CAR-T等)
- 数据类型转换规则:
- DECIMAL类型:金额转换为元(如"100万" → 1000000.00),比例转换为小数(如"100%" → 1.0000)
- ENUM类型:严格使用枚举值(如免赔额单位:"年"/"次"/"疾病"/"住院")
- BOOLEAN类型:根据表述判断("保障"/"是" → true,"不保障"/"否" → false)
- INT类型:直接提取数字(如"30天" → 30)
3. **输出结果**
- 以JSON格式输出完整的结构化数据
- Level 1字段必须填充,Level 2字段未明确说明可使用null
- 确保所有字段类型和枚举值符合格式规范
## 资源索引
- 必要脚本:见 [scripts/parse_document.py](scripts/parse_document.py)(用途与参数:解析PDF/DOCX/TXT文件,返回纯文本)
- 领域参考:见 [references/output-format.md](references/output-format.md)(何时读取:始终读取,用于了解字段定义和提取规则)
## 注意事项
- 优先使用文档解析脚本处理文件,避免格式错误
- 提取时保持原文含义,必要时可进行总结归纳
- Level 1核心字段必须优先保证准确性,AI可100%提取无null风险
- Level 2增强字段允许null,体现产品差异化
- 严格按照数据类型转换规则处理数值、比例、枚举值
- 确保JSON格式正确,避免语法错误
## 使用示例
- 场景1:上传PDF医疗险合同
- 调用脚本:`python scripts/parse_document.py ./insurance_contract.pdf`
- 提取32个字段并输出结构化JSON
- 核心字段示例:年度限额200万元、免赔额1万元/年、社保报销后100%赔付
- 增强字段示例:院外购药保障、CAR-T治疗、家庭共享免赔额
- 场景2:直接输入医疗险条款文本
- 直接分析文本内容
- 按格式规范输出32个字段的结构化JSON
- 未明确说明的Level 2字段使用null表示
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.